<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Multistate Model Bias-Corrected Robust Variance</dc:title>
  <dc:title>R package mmbcv version 0.3.0</dc:title>
  <dc:description>Computes robust and bias-corrected sandwich variance estimators for multi-state Cox models with clustered time-to-event data. The methodology extends the marginal Cox model bias-correction framework of Wang et al. (2023) &lt;doi:10.1002/bimj.202200113&gt; to the multi-state setting.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, survival, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Can Meng &lt;can.meng@yale.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Can Meng [aut, cre],
  Denise Esserman [aut],
  Fan Li [aut],
  Erich Greene [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=mmbcv/LICENSE)</dc:rights>
  <dc:date>2026-03-31</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=mmbcv</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.mmbcv</dc:identifier>
</oai_dc:dc>
